{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fec4d8ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "31f705d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_parser_fn = lambda dates: pd.datetime.strptime(dates,'%Y-%m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "07793f3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vadi_\\AppData\\Local\\Temp/ipykernel_13044/672487314.py:1: FutureWarning: The pandas.datetime class is deprecated and will be removed from pandas in a future version. Import from datetime module instead.\n",
      "  date_parser_fn = lambda dates: pd.datetime.strptime(dates,'%Y-%m')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.read_csv(\"./data/AirPassengers.csv\", parse_dates =['Month'], index_col = 'Month', date_parser = date_parser_fn)\n",
    "plt.plot(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ab69fc8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>1960</td>\n",
       "      <td>1961</td>\n",
       "      <td>1962</td>\n",
       "      <td>1963</td>\n",
       "      <td>1964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDPpercapita</th>\n",
       "      <td>81.284764</td>\n",
       "      <td>84.426437</td>\n",
       "      <td>88.914919</td>\n",
       "      <td>100.048592</td>\n",
       "      <td>114.315161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TimeIndex</th>\n",
       "      <td>1960-12-31 00:00:00</td>\n",
       "      <td>1961-12-31 00:00:00</td>\n",
       "      <td>1962-12-31 00:00:00</td>\n",
       "      <td>1963-12-31 00:00:00</td>\n",
       "      <td>1964-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                0                    1                    2  \\\n",
       "Year                         1960                 1961                 1962   \n",
       "GDPpercapita            81.284764            84.426437            88.914919   \n",
       "TimeIndex     1960-12-31 00:00:00  1961-12-31 00:00:00  1962-12-31 00:00:00   \n",
       "\n",
       "                                3                    4  \n",
       "Year                         1963                 1964  \n",
       "GDPpercapita           100.048592           114.315161  \n",
       "TimeIndex     1963-12-31 00:00:00  1964-12-31 00:00:00  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indian_gdp_data = pd.read_csv('./data/GDPIndia.csv', header=0)\n",
    "date_range = pd.date_range(start='1/1/1960', end='31/12/2017',freq='A')\n",
    "indian_gdp_data ['TimeIndex'] = pd.DataFrame(date_range,columns=['Year'])\n",
    "indian_gdp_data.head(5).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7e4cc55a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(indian_gdp_data.TimeIndex, indian_gdp_data.GDPpercapita)\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "41c38eeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>1960</td>\n",
       "      <td>1961</td>\n",
       "      <td>1962</td>\n",
       "      <td>1963</td>\n",
       "      <td>1964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDPpercapita</th>\n",
       "      <td>81.284764</td>\n",
       "      <td>84.426437</td>\n",
       "      <td>88.914919</td>\n",
       "      <td>100.048592</td>\n",
       "      <td>114.315161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TimeIndex</th>\n",
       "      <td>1960-12-31 00:00:00</td>\n",
       "      <td>1961-12-31 00:00:00</td>\n",
       "      <td>1962-12-31 00:00:00</td>\n",
       "      <td>1963-12-31 00:00:00</td>\n",
       "      <td>1964-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                0                    1                    2  \\\n",
       "Year                         1960                 1961                 1962   \n",
       "GDPpercapita            81.284764            84.426437            88.914919   \n",
       "TimeIndex     1960-12-31 00:00:00  1961-12-31 00:00:00  1962-12-31 00:00:00   \n",
       "\n",
       "                                3                    4  \n",
       "Year                         1963                 1964  \n",
       "GDPpercapita           100.048592           114.315161  \n",
       "TimeIndex     1963-12-31 00:00:00  1964-12-31 00:00:00  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pickle\n",
    "with open('gdp_india.obj', 'wb') as fp:\n",
    "     pickle.dump(IndiaGDP, fp)\n",
    "### Retrieve the pickle object\n",
    "with open('./data/gdp_india.obj', 'rb') as fp:\n",
    "    indian_gdp_data1 = pickle.load(fp)\n",
    "indian_gdp_data1.head(5).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "aa17e487",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>#Passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949-01-01</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949-02-01</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  #Passengers\n",
       "0  1949-01-01          112\n",
       "1  1949-02-01          118"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Saving the TS object as csv\n",
    "data.to_csv('./data/ts_data.csv', index = True, sep = ',')\n",
    "### Check the obj stored\n",
    "data1 = pd.read_csv('./data/ts_data.csv')\n",
    "### Check\n",
    "data1.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad2e1d34",
   "metadata": {},
   "outputs": [],
   "source": [
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "47a1eb6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date\n",
      "1981-01-01    20.7\n",
      "1981-01-02    17.9\n",
      "1981-01-03    18.8\n",
      "1981-01-04    14.6\n",
      "1981-01-05    15.8\n",
      "Name: Temp, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('./data/daily-min-temperatures.csv',\n",
    "header = 0, index_col = 0, parse_dates = True, squeeze = True)\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "13951dce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot()\n",
    "plt.ylabel('Minimum Temp')\n",
    "plt.title('Min temp in Southern Hemisphere From 1981 to 1990')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "9e881fca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "def parse(x):\n",
    "    return datetime.strptime(x, '%Y %m %d %H')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "6674ca9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = pd.read_csv('./data/raw.csv', parse_dates = [['year','month', 'day', 'hour']],index_col=0, date_parser=parse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a25769e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.drop('No', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "4aab3d67",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.columns = ['pollution', 'dew', 'temp', 'press', 'wnd_dir', 'wnd_spd', 'snow', 'rain']\n",
    "data1.index.name = 'date'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "2111b5a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['pollution'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "286f5130",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = data1[24:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "62d299c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     pollution  dew  temp   press wnd_dir  wnd_spd  snow  rain\n",
      "date                                                                          \n",
      "2010-01-02 00:00:00      129.0  -16  -4.0  1020.0      SE     1.79     0     0\n",
      "2010-01-02 01:00:00      148.0  -15  -4.0  1020.0      SE     2.68     0     0\n",
      "2010-01-02 02:00:00      159.0  -11  -5.0  1021.0      SE     3.57     0     0\n",
      "2010-01-02 03:00:00      181.0   -7  -5.0  1022.0      SE     5.36     1     0\n",
      "2010-01-02 04:00:00      138.0   -7  -5.0  1022.0      SE     6.25     2     0\n"
     ]
    }
   ],
   "source": [
    "print(data1.head(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "6fdc8a35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vals = data1.values\n",
    "# specify columns to plot\n",
    "group_list = [0, 1, 2, 3, 5, 6, 7]\n",
    "i = 1\n",
    "# plot each column\n",
    "plt.figure()\n",
    "for group in group_list:\n",
    "    plt.subplot(len(group_list), 1, i)\n",
    "    plt.plot(vals[:, group])\n",
    "    plt.title(data1.columns[group], y=0.5, loc='right')\n",
    "    i += 1\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "793eefd0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "c588dbb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def parsing_fn(x):\n",
    "    return datetime.strptime('190'+x, '%Y-%m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "011da2c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('./data/shampoo-sales.csv', header=0, parse_dates=[0], index_col=0, squeeze=True, date_parser= parsing_fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "0c4969da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "58716a3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('./data/daily-min-temperatures.csv',header = 0, index_col = 0, parse_dates = True, squeeze = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "6da69f14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot()\n",
    "plt.ylabel('Minimum Temp')\n",
    "plt.title('Min temp in Southern Hemisphere from 1981 to 1990')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "6c7216af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_df = pd.DataFrame()\n",
    "one_year_ser = data['1990']\n",
    "grouped_df = one_year_ser.groupby(pd.Grouper(freq='M'))\n",
    "month_df = pd.concat([pd.DataFrame(x[1].values) for x in grouped_df], axis=1)\n",
    "month_df = pd.DataFrame(month_df)\n",
    "month_df.columns = range(1,13)\n",
    "month_df.boxplot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "e27f9533",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_ser = data.groupby(pd.Grouper(freq='A'))\n",
    "year_df = pd.DataFrame()\n",
    "for name, group in grouped_ser:\n",
    "    year_df[name.year] = group.values\n",
    "year_df.boxplot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80d9f86d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "a42bd0d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month-Year</th>\n",
       "      <th>Number of Tractor Sold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3-Jan</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3-Feb</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3-Mar</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3-Apr</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3-May</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Month-Year  Number of Tractor Sold\n",
       "0      3-Jan                     141\n",
       "1      3-Feb                     157\n",
       "2      3-Mar                     185\n",
       "3      3-Apr                     199\n",
       "4      3-May                     203"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tractor_sales_data = pd.read_csv(\"./data/tractor_salesSales.csv\")\n",
    "tractor_sales_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "eabc1c16",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_ser = pd.date_range(start='2003-01-01', freq='MS',periods=len(tractor_sales_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "359c61f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tractor-Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2003-01-01</th>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-02-01</th>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-03-01</th>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-04-01</th>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-05-01</th>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Tractor-Sales\n",
       "2003-01-01            141\n",
       "2003-02-01            157\n",
       "2003-03-01            185\n",
       "2003-04-01            199\n",
       "2003-05-01            203"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tractor_sales_data.rename(columns={'Number of Tractor Sold':'Tractor-Sales'}, inplace=True)\n",
    "tractor_sales_data.set_index(date_ser, inplace=True)\n",
    "tractor_sales_data = tractor_sales_data[['Tractor-Sales']]\n",
    "tractor_sales_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "f6b72eb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tractor_sales_data.plot()\n",
    "plt.ylabel('Tractor Sales')\n",
    "plt.title(\"Tractor Sales from 2003 to 2014\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "a9a5b602",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vadi_\\AppData\\Local\\Temp/ipykernel_13044/2424151980.py:2: FutureWarning: Indexing a DataFrame with a datetimelike index using a single string to slice the rows, like `frame[string]`, is deprecated and will be removed in a future version. Use `frame.loc[string]` instead.\n",
      "  one_year_ser = tractor_sales_data['2011']\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_df = pd.DataFrame()\n",
    "one_year_ser = tractor_sales_data['2011']\n",
    "grouped_ser = one_year_ser.groupby(pd.Grouper(freq='M'))\n",
    "month_df = pd.concat([pd.DataFrame(x[1].values) for x in\n",
    "grouped_ser], axis=1)\n",
    "month_df = pd.DataFrame(month_df)\n",
    "month_df.columns = range(1,13)\n",
    "month_df.boxplot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "afd2f12b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "eb552c62",
   "metadata": {},
   "outputs": [],
   "source": [
    "turn_over_data = pd.read_csv('./data/RetailTurnover.csv')\n",
    "date_range = pd.date_range(start='1/7/1982', end='31/3/1992',freq='Q')\n",
    "turn_over_data['TimeIndex'] = pd.DataFrame(date_range,columns=['Quarter'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "b293414b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(turn_over_data.TimeIndex, turn_over_data.Turnover)\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "be17c634",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vadi_\\AppData\\Local\\Temp/ipykernel_13044/3433536775.py:1: FutureWarning: the 'freq'' keyword is deprecated, use 'period' instead\n",
      "  decomp_turn_over = sm.tsa.seasonal_decompose(turn_over_data.Turnover, model=\"additive\", freq=4)\n"
     ]
    },
    {
     "data": {
      "image/png": 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gOFjZyGNrDxIfFc5zG45wKETRTN5sOlzNK9tKuX3hBP7fNdOoamwLeWb9C5uKOXqimW9eakXLJcZEcMeFE1i+u4JNh4MbMff4mt57Tx7m5aVQMDqBx9cGL+T8Dyv2U9nQyo+uOaPHdYPOzEliXl4Kj605SHuH/x9oPfGrt/YQHxnOnRfm93ncxIx4rpg+mqfePxzwOfr2ldfz+vZj3HreeBJjIvo8VkT498WTOFbXwvMbi/s8drB01dHCCQP+7L9dNIGy2hb+GYCG0P2v7yLSFcY3e8jH6o2k2EhuOieHl7eWBmRM8aH3DlDb3M53l0wZ1OcDORffKsDXJ9G1wFJ72Y2DWBPDnmO/9qtqkaq2AUuBa+2ZzRdhTSwL1oq61/lTf2/c96p1ESy9fT4RrjB++daeYPxsr3jyHTISorhjYT5zxqVw4eR0/vzegaC7hjy0ujv4/fL9zMpJOmUq/dvOH09afCS/eHNP0IxAbXM7f1lTxKXTeu89gfVg+6Idcr4+CIPGBysbeWzNQW6YM5ZZOUm9HnfHhfmU1rbwamFZr8f4i61Ha3hrZzlfXZhPUmz/DomvXTSR+lZ3wF3Kf1yxn+hwF19a4FvuzPkTU5kzLpkHV+z3e09lm11HX7kgn2QfEk27c+HkdKZljeKh9w7Q6cccpHVFVby5o5yvXTxxQL06sMY7AzGJ7LHaFh5fe5BrZ43pMUfMF0Kxou7dIvIFYCPwLVWtxlold53XMd4r5x7tVj4PSAVqVNXdw/Gn0X1F3cGyZl8l7+wq5ztLpjA9O5GvXJDH75fv546FtacNvAeLZYVlbDlSw88/NbNrDOM/Lp3MdX9cy5PvHzpl4D1YPL+xmJKaZv7vkzNO8TnHRoZz18UT+e9XdrJ2fxULJg28yz9QPGNP9/gQaXXtrGzuf2M3T75/iPn5qQHVdd+rO4l0hfGdy/tuWV40OYOJGfE8vKqIa2eNGbAPfyD86q09pMRF+mwIpmcnctGUdP6y5iC3nT/e59yWgXCospGXt5Xy5QV5Ps08ACd7Ubc+toF/bCruNdS6L5rbOjhW18Kx2hbK66zXsboWVu09TkpcpM+Jpj1p+7eLJvD157bw1s5jLJmeddoxdS3tbD1Sw5YjNWw5Wk1lQyvxUeEkREeQEB3OqOgI+71VFh8dzkMrDzAmMZov+3juvBmbHMs1M7N4bsMRvr5o0ml5U76iqhyqamL1vuOs3lfJBweq6OhUvnXp4HpPEHwD9SDwU6zVb38K/Ar4UqB/VFUfBh4GmDt37qCaLe6OTn6ybAc5KTF86XzrIrh9YT5PrzvMz9/czV+/PM9/gn2kpb2D+1/fzdSsUXxqzsl1HWflJLGoIIOHVxXxhXPHkRA9uAtusJr+uHw/c8clc0EPBuiz83J5ZFURv3hrD+dPTA3oA7e2uZ1H1xRxWT+9Jw8xkS4+c3YOj6wqoqSmmeykmIDoem/vcd7ZVcH3riggY1Tfrd2wMOH2C/L5zguFATXqHxyoYvW+Sn541dQ+gxC6c/fFE7nhoQ9YuuGoz4ZtIDy48gDhrjC+urBvl2N3Fk5K48ycJP64Yj+fnju2z9Dm4/WtvLKtlJV7j1NW08yxuhbqW073PsRFushMjOZ/rps+oDrqzhXTRzMuNZYHVx7g0mmjOXC8gc2Hq9lypIbNR6rZf7wBVRCByRkJjEmKpqHVzdETTdS3uKlvaaeh1U33Dthvb5rVY/i9L9y+cAL/3FrK0+sPD6hRW9PUxvsHqrqMUnG15SYcmxzDNWeO4frZ2eSm9h/l2BtBNVCq2rW2r4g8Aiyz35YA3tlb3ivn9lReBSSJSLjdi/I+PiA8u+EIe8sbeOiWs7ougoToCO66eCL/8+ou1uyrDEqPwJvH1x6ipKaZn98wE1e3MYz/uGQy1/xhDY+vPeRTnoa/WLrhCMfqWnjgxjN7ND5R4S7uuWQS333hI97eWc5lZwws7HQgPL72IPUt7tNyefri8/PH8ciqIp5ed5jvLul9IbXB0t7RyU+X7WR8aiy3nT/ep89cO3sMv3hrDw+vLgrINaaq/PKtPWSOiuoKufeVueNTOCcvhYdXFXHL/HFEhvtv1KC4uokXNhfzuXm5A3ZbiQj3LJ7Il57YyEubS7ixW3Joc1sHb+08xktbSli9r5KOTmVyZjwT0uM5b0IqmYnRjB4VTab9Gp0YPSSj5E24K4w7Fk7g+y99xMwfv0mjnRaSFBvB7JwkrjlzDGflJjMzJ5FRvTQuVZWmto4ug9WhSsFo3wIjemLamFEsnJzO42sP8uUFeb0auoq6FrYV17L1aDVr91dRWFxDp0JCVDjnTkjljgsncMHENMalxvql8RlUAyUiWfYquQDXA54Iv5eBZ0XkAWAM1oq6GwABJolIHpYBugn4rKqqiKwAbsAalwroiro1TW088PZezs1P5fJuD9Rb5o/j8bWH+Nkbuzlvwvk9DnYHgsqGVv60Yj+XTM3g/B6iY2aMTeSSqZk8urrIp8Flf9DS3sEfVx5gXl4K507o3UX2qbPG8tB7RTzw9l4umZoZkDqzxp4OcvkZmQPyf49NjuWyaaN5bsMR7lk8adAt0t746wdWwvKjX5h7ylQ9fREVboUD/+LNPewqq/M5QstXVu45zqbD1dx3/fRB/b93XTyRWx/bwIubi0+b4WEo/Pm9IkTg9gsHHowAcPGUDGZkJ/KHFfu5/qxswkT44EAVL24p5s3tx2hs62BMYjR3LMznutnZTM5M8Jv2/vjkWdmsP1hFfFQ4Z+UmMzs3iby0OJ8f6iJCXFQ4cVHhjE4cmPHujTsvzOezj6znxc0lfHZeLvUt7XxUXMvW4hoKj9ayrbiGMjtx3BUmzMpJ4uuLJrFwchpnjk0ifAAJuL4SMANlr6h7EZAmIsXAj4CLRGQWlovvEHAHgKruEJHngZ2AG7hLVTvs77kbeBNwAY+p6g77J74LLBWR/wG2AH8J1P/ym3f2Udfczv+7ZtppF1B0hItvXjqZb/19G69tL+PqmWMCJaObpr00t3dw75VTez3mG5dM4urfl/PYmoP8Rz8Lg/mDp9cd5nh9K3+4eXafN1q4K4xvXDKJe5Zu5ZXCUq7tIcR6qDy2xuo9Dab3eOt51hIJL28tPa3lPRSqGlr59Tt7uWBSGoun9p1E2Z1b5o3jjyv288iqIh74zCy/aWpodfOLN/eQmxLLjXMH978unJTGjOxEHnzvADfMGeuXB1V5XQt/23iUT501dtCuVs9Y1Fef2si/Pb2Jj0pqKa9rJSEqnKtnjuH6s7I5Z3xK0BqV3kRHuPjtTbOD/rt94ZlE9ldv7eGxtQc5YLsaAcanxnJOXgpnjk3izJxEpmUlEhPp38ZbTwTMQKnqzT0U92pEVPU+4L4eyl8DXuuhvAgryi+g7Cuv56/rDnPTObm9tlyvm53Nw6uK+OWbe7j8jNEDmspjMOwtr+fZ9Uf4wrnjT5knrTvTsxNZcsZoHltzkC+dnzfowU9faGpz85C9btA8HwIMrpk5hgdXHuDXb+/lyhlZfq2z2uZ2Hls78N6Th/n5dsj5+4f49NyxfRrbiroWnvrgMO/sKifcJcREuIiJDCc2wkVMpPWKjXARG+lia3EtTW0d/KiHhk5/JMZG8Jmzc/jrB4f59pIpZCX6/tBWVaoa29hf0dD1OnC8gX3lDRyrs1rEv/7MmYM+ByLCXRdP4M6nN/PqR2VdDQ5VpbqpneLqJkqqmymubra2a1pobHXT1tFJq7uDNncnre5OWts7rbL2DlrdnShWpOBQuGRqBjPHJrJyz3EumpLB/7s6m8VTM/zeM/44ICJ867Ip/PCfHzE+1Zo/8MycJGaOTfQpqjMQhCKKb9igqvz01V3ERrr4Vh89EFeY8J0lU/jykxtZ+uFRPj9AP/5A+d/XdhEXFe5T7+CeSybxxo5jPLqmiG9dNvhomv546oPDVDa08R+X+tZjCQuzboavPrWRFzb55hqqbWrnH5uLKa9roaW9g+a2DlrcnbS0d9DS3kFreyct7g6qGtqssafFg+s1igi3njeee1/8iA0HT/RocHeV1fGXNQd5eWsp7Z2dnDfBWua7qc1NbVMbx9o7aGqzNDbb2wB3LMxnYsbgXElfOj+Ppz44zONrD/H9PnrOAEeqmvj7pqN8cKCK/ccbqPFa4js20tU11jIhI56ZYxNZMIgkSm8umzaaiRnx/Oz13by0paTLIDV3m5kjISqc7OQYEqLDiYlwkRgTQVR4GJHhYV5/XUSGhzF9TOKQBtjBOpfPfnU+HR0a0Abax4ULJ6ez+juLQi2jC2Og+mDFngpW7T3OD6+aSmp8VJ/HLirI4JzxKfzu3X186qzsgITcghUBtnLPcX5w5VSfwm6nZo3iqhlZXb2oweRu9EdDq5s/v3eACyenn7KiaH9cMjWDM3OS+N27+7hudnavrdoqe82dpz6wpv2JjggjOsJFTISL6AgXUeHW++iIMFLiIhmTGMOdF01g2pjBj9VcNyub+1/fzZMfHOoyUKrKqn2VPLq6iNX7KomJcHHzOTncdn7eKQvC9YSq0uruHFLLPScllitnZPHs+iPcvWjiaQPoLe0dvLnjGM9vPMra/VWEibVW0hXTs5iYEd/1yhoV7Xe3VliY8O3Lp/DDf26nsqGV/PQ4Fk5OJzsphrHJMWQnxzA2OTYoY6Hd8VdwgyH4mDPXC23uTn66bBf5aXF84dzx/R4vInz3igI+9eD7PLbmIHcv8n/knLujk/te3UluSixfOM/3Xto9l0zite1lPLy6KCCRaU++f4jqpvYBj3OJCN+5fAqfe3Q9z64/clqYcnldCw+vKuKZ9YdpdXdy1Yws7rp4ot+DBHoiJtLFTWfn8OiagxyqbGTDwRM8uqaIveUNZCRE8e3Lp/C5ebk+uz5ExC9updsvyOeVbaUs3XCE2+2ZDHaV1fG3D4/y0pYSapvbGZscw7cuncwNc8cOyBU4VC4/Y/RpQUQGw1AwBqoXnvrgEAcrG3n8i2f7HDo7Z1wyl07L5KH3ivjsvHE+Jxb6yvMbrSnrH/zcWT5HgIE1k/I1M8fw5PuH+MqCvH57gwOhrqWdh1cVsbggo88ZEXrj/IlpnJufyp9W7uemc3KIjQzn6Ikm/rzqAM9/WEyHKtfOGsPXLprY55o7geCW+eOsGdAfeA93p1IwOoFfffpMrjlzjF/DqQfCjLGJnJufymNrDhEXFc7zHx5lW3Etka4wLp8+mpvOzuHc/NSQDPwbDP5mxBmo5rYO2js6+xwQrmxo5bfv7uPCyelc3M+U9d35zuVTuPw3q/jjiv3819XT+v+AjzS0unng7T2cPT6ZJdMH3kr998WTWFZYysOrivqM/PNwpKqJivoWkuMiSY2LZFR0RI8PvcfXWGssDSVK8D8vn8KnHnyfn7+xh8ZWNy9tKUEEPj03hzsXThjyOMRgyUmJ5asX5HPgeAO3nZ/HeRMCm1jsK7dfmM9tj3/ID17azpTMBP7f1dO4fnZ2QNy3BkMoGXEGav/xBmb8+E1mjk1izrhk5uQmc9a45FN6O796ay9NbR3819X9P8i7MykzgRvmjOWvHxzmtvPH97iezkDwTLnyxNqDVDa08Zdbzx7UQ3JiRjzXzsrmyQ8O8ZUL8klPOLUX5e7oZMvRGt7ZVc67uypOW1zQFSYkx0aQEhdJcmwkqfHW35e3lfo8U0NvzBmXzOKCDJ54/xBR4WF8/txx3L4wP6juqd7wxZgHm4smp/OLG2YyMSOeWTlJjjCaBkMgEKetwBpoJp1xpn7+/ufYdKSaHSW1uO35QvLS4jgrN5mJGfH84s3dfOHc8fz4E2cM6jdKa5q56JcruWbmGH5145m9HtfU5uboiWZKapooq22hvNaa7+tYXWvXtvdM0Z88K5sHbpw1KE1gTVB6yQPv8cXzxvNfV0+jrqWdVXuP8+6uClbsqaCmqZ3wMGFefgqLCzKZkBFPdWMbVY1tp/w90dhGVWMr1U3ttHd08vc7zx1SFjtYdfZqYRnXzc4+zXgaDIaPNyKySVXnnlY+0gzU3LlzdePGjYAV9VRYXMvmI9VsOlzN5sPVVDW2kRwbwYr/vGhIsf//+9ouHlldxFNfOocwEY6caOLoiSaOVjdz9EQTxdVNVDacuuChCKTFR5GVaE+vYk+xkjkqmqzEaOblpQw5CfJbz29jWWEpc8Yls+HgCdydSnJsBBdPyWDx1EwumJzW6/QqBoPBEAiMgbLxNlDdUVUOVzURGR7GmCFOFFrT1MYFP19xyqSTrjAhOymGnJQYcpJjyUmJZawdfpuVGE16QlTAk3wPVzVy5W9Xk50cw6KCTC6ZmsHs3OTT5vIzGAyGYGEMlE1fBsrfbDpczYGKBsbaBikrMTog81UNlI5ONQbJYDA4BmOgbESkHgjtKoODJw2oDLWIQWK0hwajPTQY7QNjnKqmdy8ccVF8wJ6eLPVwQEQ2Gu3Bx2gPDUZ7aHCS9tD7mwwGg8Fg6AFjoAwGg8HgSEaigXo41AKGgNEeGoz20GC0hwbHaB9xQRIGg8FgGB6MxB6UwWAwGIYBxkAZDAaDwZGMGAMlIktEZI+I7BeR74Vaz0AQkUMi8pGIbBWR4GQZDwEReUxEKkRku1dZioi8LSL77L/JodTYG71o/7GIlNj1v1VErgylxt4QkRwRWSEiO0Vkh4jcY5c7vu770O74uheRaBHZICLbbO3/bZfnich6+5nzNxFx3HTzfWh/QkQOetX7rJDoGwljUCLiAvYClwLFwIfAzaq6M6TCfEREDgFzVXVYJP6JyEKgAXhKVafbZT8HTqjq/XYDIVlVvxtKnT3Ri/YfAw2q+stQausPEckCslR1s4gkAJuA64Av4vC670P7jTi87sWaTj5OVRtEJAJYA9wDfBN4UVWXishDwDZVfTCUWrvTh/Y7gWWq+o9Q6hspPahzgP2qWqSqbcBS4NoQa/rYoqqrgBPdiq8FnrS3n8R6+DiOXrQPC1S1TFU329v1wC4gm2FQ931odzxq4VmfJsJ+KbAI8DzgnVrvvWl3BCPFQGUDR73eFzNMLn4bBd4SkU0icnuoxQySTFUts7ePAZmhFDMI7haRQtsF6DgXWXdEZDwwG1jPMKv7btphGNS9iLhEZCtQAbwNHABqVNUzW7Rjnzndtauqp97vs+v91yISkjVwRoqBGu4sUNWzgCuAu2w31LBFLb+yY1ppPvAgMAGYBZQBvwqpmn4QkXjgBeAbqlrnvc/pdd+D9mFR96raoaqzgLFYHpuC0Cryne7aRWQ6cC/W/3A2kAKExCU8UgxUCZDj9X6sXTYsUNUS+28F8BLWDTDcKLfHGTzjDRUh1uMzqlpu38SdwCM4uP7tcYQXgGdU9UW7eFjUfU/ah1PdA6hqDbACOBdIEhHPfKeOf+Z4aV9iu1xVVVuBxwlRvY8UA/UhMMmOqokEbgJeDrEmnxCROHvQGBGJAy4Dtvf9KUfyMnCrvX0r8K8QahkQnoe7zfU4tP7tAe+/ALtU9QGvXY6v+960D4e6F5F0EUmyt2OwgrF2YT3sb7APc2q996R9t1eDRrDGzkJS7yMiig/ADk/9DeACHlPV+0KryDdEJB+r1wTW7PPPOl27iDwHXIQ1bX858CPgn8DzQC5wGLhRVR0XjNCL9ouwXEwKHALu8BrTcQwisgBYDXwEdNrF38cay3F03feh/WYcXvciMhMrCMKF1eh/XlV/Yt+7S7FcZFuAW+weiWPoQ/tyIB0QYCtwp1cwRfD0jRQDZTAYDIbhxUhx8RkMBoNhmGEMlMFgMBgciTFQBoPBYHAkxkAZDAaDwZEYA2UwGAwGR2IMlMFgMBgciTFQBoPBYHAkxkAZDAaDwZEYA2UwGAwGR2IMlMFgMBgciTFQBoPBYHAkxkAZDAaDwZEYA2UwGAwGR2IMlMFgMBgciTFQBoPBYHAk4f0f8vEiLS1Nx48fH2oZBoPhY0anKm1upb2jA3enogqqigKdXtve5S4RXGHWKzzMsx1GuEtwiSAS4n8qSGzatKlSVdO7l484AzV+/Hg2btwYahkGg2GY0dLewb7yBg5VNVJa00xJTTOlNc0UV1t/61rcvX7W46oKDxMiXGFEuCxj1NjaQVtHJ51AWw+fi48KJz0hipyUWHKSY8hNiSU3JZaclFhyU2MZFR0RiH816IjI4Z7KR5yBMhgMhv5obHWzq6yOHaV1bC+pZXtpHfvK63F3nlyBfFR0OGOSYhibHMM5eSmMSYohOymGMUkxZCREERUeZhmjcMsgRYSFERZ2apdIVWlq66CmuZ3qxjZqmtqpbmqjpsmz3U55XQtHq5soLK6hpqn9lM8nxUZ0Gay81Djy0uLIT48jPy2exNjhb7yMgTIYDCOazk5lR2kd64qq2F5ay/aSWooqG1HbFqXFR3LGmEQWFaRzxphEJqTHMyYpmgQ/9F5EhLiocOKiwslOiun3+Nrmdo6eaKK4uokjJzyvZnaU1PLG9mN0eBnQlLhI8tLiul75aXFkjIomLspFXGQ4sZEu4qLCiQoPQ3rwJaoqdS1uTjS2UdXQSlVjGyfsV2VDKwsmprF4auaQ66AvjIEyGAwjjpKaZtbsO86qfZW8v7+SartnMiYxmjOyE/nEmdlMzx7F9OxEMhKienyAh4LEmAgSsxOZnp142r72jk6OnGji4PFGDlY2UlTZyMHKBlbvO84/NhX3+p2uMCE20kV8lGW0IlxhnGhso7qpjfYO7fEzcZEu0uKjQmegROSTfX1QVV/sa7+IPAZcDVSo6nS77MfAV4Hj9mHfV9XX7H33Al8GOoB/V9U37fIlwG8BF/Coqt5vl+cBS4FUYBPweVXtyY1rMBhGOPUt7awrOsHqfcdZs6+SospGADISolhUkMkFk9I4b2IqGQnRIVY6eCJcYUxIj2dCevxp+xpa3RyqbKSqsY2mVjcNrW6a2jpobHPT2OqmsbWDpjZ315jYzLGJpMZHkRoXSYr9SouP6tqOjnAF5X/qqwd1jf03AzgPWG6/vxh4H+jTQAFPAH8AnupW/mtV/aV3gYhMA24CzgDGAO+IyGR79x+BS4Fi4EMReVlVdwI/s79rqYg8hGXcHuxHk8FgGAGoKnvK61mx+zgrdlew6Ug1HZ1KTISLefkpfHZeLgsnpzMpI94xvaNAEh8V3mOvy+n0aqBU9TYAEXkLmKaqZfb7LCzj0yequkpExvuo41pgqaq2AgdFZD9wjr1vv6oW2b+9FLhWRHYBi4DP2sc8CfwYY6AMhhFLc1sH7x+oZPnuClbuOU5JTTMA07JGccfCfBZMSmPOuGSiwoPT+jcMHV/GoHI8xsmmHMgdwm/eLSJfADYC31LVaiAbWOd1TLFdBnC0W/k8LLdejaq6ezjeYDCMAFSVIyeaWLnnOMt3V/BBURVt7k5iI10smJjG1xdN5KIpGYxOHL5uu5GOLwbqXRF5E3jOfv8Z4J1B/t6DwE8Btf/+CvjSIL/LZ0TkduB2gNzcodhWg8EQCjo7lYNVjWwvqWVnaR3bS2vZUVrXFXadlxbHLfPGsaggg7PzTC/p40K/BkpV77YDJi6wix5W1ZcG82OqWu7ZFpFHgGX22xIgx+vQsXYZvZRXAUkiEm73oryP7+l3HwYeBpg7d27PYSkGgyHkNLW5qahrpaK+lUNVjZYxKqllV1kdjW0dAES6wpg8Op4lZ4zmjOxEFkxMIy8tLsTKDYHApzBzO2Kvv6CIfhGRLC934fXAdnv7ZeBZEXkAK0hiErABEGCSHbFXghVI8VlVVRFZAdyAFcl3K/CvoeozGAwDp7NTaevopNXdSZu7k1Z3B63uTlrbO2lxd9Da7lXm7qSlvYMTjW22IWqhor6V4/arofXU2RhiI11MyxrFDXPGckZ2ImeMGcWkjAQiw800oiOBfg2U3Xv6GVY0n9gvVdVR/XzuOeAiIE1EioEfAReJyCwsF98h4A6sL9shIs8DOwE3cJeqdtjfczfwJlaY+WOqusP+ie8CS0Xkf4AtwF98/q8NBkOvtHd0criqiaLjDRRVNnKgwvpb09RmGaL2Tto6LGPU5u48ZXaFgRAX6SJjVDTp8VFMGzOKjIQoMhKirb+joshOimFcahyusI9/lJ2hZ0S174vLjqi7RlV3BUdSYJk7d66aufgMBssQ7S2vZ0dJHQeON3DgeCNFxxs4cqLpFKOTFh9Ffnoc6fFRRIaHEekKs/6GhxEVfnI70mW9j4pwWX/DXURFWGXR3mXhYaTERRIXZeYJMFiIyCZVndu93JcrpPzjYpwMhv5oae+grrmdupZ2aputlyrERFrTw8RFuYiJDCcu0kVMpItIV8/TxDiNjk7lYGUD247W8lFJLduKa9hZWkeruxOwxnXGp8UyZXQCV8wYTX5aPBMy4slLiyMxZvjP6WYYnvhioDaKyN+AfwKtnsL+ZpIwGJyAu6OTqsY2yutaKLfHPMrrWqmos8Y+apraqGtxU9vcTl1ze9cD21fCw4QYe5qY1PhIUuOiSI23su5T4yK7svFT463tpJgIYiNdATNqja1uymqbKattoaymhX0V9RQWW/PLeYIMYiNdTB+TyOfnj2PG2ERmZCcaV5rBkfhioEYBTcBlXmWKH4ImDAZ/4cmJWX/wBOuLTrCnvI7yulaqGlrpPkQiYrmt0uOjSI6LIHNUtDXHWUwEo+xXYkwEo6LDSYyJIEyEpjZrKphT/56cHqah9eSkmvsrGqhsaO3V2LnChITocOsVFcGomHASoiNIiA5nVHQEcVEuXGFhuESsdYHCpGvdoHCXEGavE1TV0HaKMSqtbaa+25IPkeFhTMsaxafmjGXm2CRmjrUmOzXGyDAc8CXM/LZgCDEYBoKqcuB4Q5dB2nDwBMfqWgBrFufp2YmckZVI5qgoMkZZA++Zo6LJHBVNWnwk4a7ARoF5llGoamijsrGVqgbLeNXa7sP6Fjf1LW7qmq3toyearPct7TS1dZwyK3VfpMVHkZUYTW5qLPPzUxidGMOYpGhGj4pmTFIMoxOjiQjw/2owBApfovgmYyXYZqrqdBGZCXxCVf8n4OoMBi+qGlp5bfsx3t9fyYaDJ6hqtOYGzkiIYl5+KufkpTA/L4WJDphfzXsZhdzU2AF/XlXpVHB3dtLZeerfjk5rX3JchElINXys8cXF9wjwbeDPAKpaKCLPAsZAGQJOq7uD5bsqeGFzCSv3VODuVLKTYrhwSjrz8lKYl5fKuNTYkBskfyMiuARcYR4DZAyRYeThi4GKVdUN3R4Ava9tbDAMEVVl85EaXtxczLLCMmqb28lIiOLLC/K4/qxsCkb3mYJnMBg+JvhioCpFZAJWYAQicgNQ1vdHDIaBc/REEy9tKeHFzcUcqmoiOiKMJWeM5pNnjeX8iWlmYN9gGGH4YqDuwprHrkBESoCDwOcCqsowYjhS1cQbO8p4ffsxthypAWB+fgp3XTyRJdNH+2VZbYPBMDzp00CJiAv4mqpeIiJxQJiq1gdHmuHjiKqyv6KB17cf443tx9hZVgfA9OxRfPvyKVw7awxjkwceVGAwGD5+9LXke7iqukVkAYCqNg7ki3ta8t1r37eAXwLpqlop1gDXb4ErsXKuvqiqm+1jbwV+aH/0f1T1Sbt8DtbCiTHAa8A92t+8TYaQoKpsL6nr6ikVHW9EBObkJvPDq6Zy+RmjyUkxRslgMJxKXz2oDcBZwBYReRn4O9BlpHyYSeIJeljyXURysJJ+j3gVX4E1g/kkrAUJHwTmiUgK1iSzc7HGwDbZS75X28d8FViPZaCWAK/3o8kQBNrcnewsq2PT4Wo2HT7BxkPVVNS34goTzs1P5bbz87h8WiYZo8xCcgaDoXd8GYOKxlp/aRGWkRB8mEmijyXffw18h1OXx7gWeMruAa0TkSR7afmLgLdV9QSAiLwNLBGRlcAoVV1nlz8FXIcxUCGhqqGVzUdq2HS4ms2Hq9lWXNM1i8LY5BjOm5DKeRPTuHRqJslxkSFWazAYhgt9GagMEfkm1ppNHsPkYVCuNBG5FihR1W3dwtazOX1p9+x+yot7KO/td82KukNEVTnR2MbBykaKjjdyoLKBouON7Cuv51BVEwARLuEMe463OeOSOWtcMpmml2QwGAZJXwbKBcRzqmHyMGADJSKxwPc5dU6/oGBW1O0bVaW+1U1NYzvVTW2caGqjpqmN0poWio43UmQbo9rm9q7PRLiEcalxTBmdwGfOzmXu+GRmZCcSHWESSg0Gg3/oy0CVqepP/PhbE4A8wNN7GgtsFpFz6H3J9xIsN593+Uq7fGwPx4943B2d1DS3U9PURnVTO9WNbdQ0WYanuskqP9FDWW+LzmWOiiI/LZ6rZ2aRlxbHhPR48tPjyE6KCfh8dgaDYWTTl4Hya1akqn6EtSqv9eUih4C5dhTfy8DdIrIUK0iiVlXLRORN4H9FJNn+2GXAvap6QkTqRGQ+VpDEF4Df+1NvqFFVWt2d9tpE1iSiNU1tVDW0Wb2cxnZONLZ2/a1uaudEY9spvZzuRLiEpNhIkmMjSI6NZEJ6PMlx1nZybCRJdnlynHVMxqho4s2icgaDIUT09fRZPJQv7mnJd1XtbVn217BCzPdjhZnfBmAbop8CH9rH/cQTMAF8jZNh5q8TxACJxlY3u4/VEx1hrRQaE+EiOsJlvQ93EdZtxoP2jk6qG9uoarR6L1WNbZxoaKXK3q5paqOu2d01y7Vnwbz2jt69kREuISXOMiyp8ZGMSYohNS6SpNhIUuK8jI3H8MRFEhfAdYgMBoPB3/S75PvHDX8s+b7lSDXX/+n9XvdHusKIso1Xa3sHdS09T10oAim2AUmMiSAh2lqLyLMuUEJ0uLU+kb12ULJtfFLiIomPCjfGxmAwfCwYypLvhm7kp8fz+G1n09reQUt7Jy3tHdbL7dm2/ra6O4hwhZHitbJqSlxk19+k2Egzv5zBYDD0wojrQYlIPbAn1DoGSRpQGWoRg8RoDw1Ge2gw2gfGOFVN7144EntQe3rqSg4HRGSj0R58jPbQYLSHBidpN3HCBoPBYHAkxkAZDAaDwZGMRAP1cKgFDAGjPTQY7aHBaA8NjtE+4oIkDAaDwTA8GIk9KIPBYDAMA4yBMhgMBoMjGTEGSkSWiMgeEdkvIt8LtZ6BICKHROQjEdkqIkObBiMIiMhjIlIhItu9ylJE5G0R2Wf/Te7rO0JFL9p/LCIldv1vFZErQ6mxN0QkR0RWiMhOEdkhIvfY5Y6v+z60O77uRSRaRDaIyDZb+3/b5Xkist5+5vxNRBy3GFof2p8QkYNe9T4rJPpGwhiUiLiAvcClWGtHfQjcrKo7QyrMR7wn1g21Fl8QkYVAA9YilNPtsp8DJ1T1fruBkKyq3w2lzp7oRfuPgQZV/WUotfWHvchnlqpuFpEEYBPWQp5fxOF134f2G3F43Ys151icqjaISASwBrgH+CbwoqouFZGHgG2q+mAotXanD+13AstU9R+h1DdSelDnAPtVtUhV24ClWKv4GgKAqq4CTnQrvhZ40t5+Euvh4zh60T4sUNUyVd1sb9cDu7AW8nR83feh3fGoRYP9NsJ+KdYq5J4HvFPrvTftjmCkGKjeVuYdLijwlohsslcHHo5kqmqZvX0MyAylmEFwt4gU2i5Ax7nIuiMi44HZWMvRDKu676YdhkHdi4hLRLYCFcDbwAGgRlU9M0U79pnTXbuqeur9Prvefy0iUaHQNlIM1HBngaqeBVwB3GW7oYYtavmVHdNK84EHsRbcnAWUAb8KqZp+EJF44AXgG6pa573P6XXfg/ZhUfeq2qGqs7AWTz0HKAitIt/prl1EpgP3Yv0PZwMpQEhcwiPFQPW2Yu+wQFVL7L8VwEtYN8Bwo9weZ/CMN1SEWI/PqGq5fRN3Ao/g4Pq3xxFeAJ5R1Rft4mFR9z1pH051D6CqNcAK4FwgSUQ88506/pnjpX2J7XJVVW0FHidE9T5SDNSHwCQ7qiYSuAl4OcSafEJE4uxBY0QkDmtV4e19f8qRvAzcam/fCvwrhFoGhOfhbnM9Dq1/e8D7L8AuVX3Aa5fj67437cOh7kUkXUSS7O0YrGCsXVgP+xvsw5xa7z1p3+3VoBGssbOQ1PuIiOIDsMNTfwO4gMdU9b7QKvINEcnH6jWBNfv8s07XLl6rKQPlwI+AfwLPA7nAYeBGr9WRHUMv2i/CcjEpcAi4w2tMxzGIyAJgNfAR0GkXfx9rLMfRdd+H9ptxeN2LyEysIAgXVqP/eVX9iX3vLsVykW0BbrF7JI6hD+3LgXRAgK3AnV7BFMHTN1IMlMFgMBiGFyPFxWcwGAyGYYYxUAaDwWBwJMZAGQwGg8GRGANlMBgMBkdiDJTBYDAYHIkxUAaDwWBwJMZAGQwGg8GRGANlMBgMBkdiDJTBYDAYHIkxUAaDwWBwJMZAGQwGg8GRGANlMBgMBkcSdAMlIjkiskJEdorIDhG5xy5PEZG3RWSf/TfZLhcR+Z2I7LdXdzzL67tutY/fJyK39vabBoPBYBh+DGo2c28j0ROqurmPz2YBWaq62V7naBPWeiNfBE6o6v0i8j0gWVW/ay+T8XXgSmAe8FtVnSciKcBGYC7WVPybgDmqWj3gf8hgMBgMjiO8/0N6pK9llxVY1OtOay2XMnu7XkR2AdnAtVjr7oC1PslKrGWGrwWespeqXiciSbaRuwh427OujYi8DSwBnhvk/2QwGAwGBzEoA6WqF/vjx0VkPDAba0G1TK+FyI4BmfZ2NnDU62PFdllv5T39zu3A7QBxcXFzCgoKhqy9rrmdhJgIZMjf5D/cnUprewdxUYNtdwSG5rYOXGFCZLizhjzNOfQdR5/D6AjEQSfR3am0tHcQ77Rz2N6BS5x3Do/Xt3Jk7/ZKVU3vvm/INSgi04FpQLSnTFWf8uFz8cALwDdUtU68rjBVVRHx20qKqvow8DDA3LlzdePGjUP6vjd3HOOOv27i+58+k0/NGesPiX7hG0u3sKywjHf/61ISYyJCLQeAVncHc//nHWbnJvPkl84JtZwulu8u50tPbOTbn5zBTefkhlpOF9/++zZe3FLC2h9cQkpcZKjlANDm7uSc/32HaVmjePar80Mtp4tVe4/zhcc28I3rpvP5+eNCLaeLe1/8iKUfHmHV9xeTkRDd/weCgLujk/n/9y75afE8f+e5oZbTxfsHKvnsI+vhZ1cf7mn/kEypiPwI+L39uhj4OfAJHz4XgWWcnlHVF+3ictt15xmnqrDLS4Acr4+Ptct6Kw84r2wrBWD57op+jgweLe0dvL2zHHensmrv8VDL6eK9Pcepb3HzwYEqGlvdoZbTxSvbrM76uw46h63uDt7YcYyOTuW9vc7RtXZ/JTVN7Ww4eIK6lvZQy+mi6z7cVR5iJSdp7+jk9e1lqMLK3c65Dz8oqqKyoY2Nh09Q09QWajldLCssIybC1ev+ofb1bgAWA8dU9TbgTCCxrw+I1VX6C7BLVR/w2vUy4InEuxX4l1f5F+xovvlAre0KfBO4TESS7Yi/y+yygNLU5ubdXRWEidWCa3N3BvonfWLF7goa2zoIE2cZzmWFZYQJtHV0snZ/ZajlACeNeZjAmn2VtLR3hFoSAKv3VlLf4iZM4N1dzjmHrxSWEiaW62r1XmecwzZ3J2/uOEaYwNoDVTS1OaPx4zHmYQLv7naO4Vy2zboPOxXec0gD1t3RyRvbj7F4akavxwzVQDWraifgFpFRWL2enH4+cz7weWCRiGy1X1cC9wOXisg+4BL7PcBrQBGwH3gE+BqAHRzxU+BD+/UTT8BEIFm+u4Lm9g5uOz+P+lY3Gw8F/Cd9YllhGalxkVxz5hhW7Kmgo9NvHtJB09zWwTu7yvnUWWNJiAp3jOFcuec4Da1ubjs/j+b2DtYVVYVaEgDLCktJio3gutnZvLf3OO0doW/8tLR38PaOcq6bnU1SbIRjHrqr9x2nrsU6h23uTt7f75RzWEZCdDifOmssq/dV0uoOfeOnzd3JGzuOcfXMMaTFRzqm8fP+gSpONLZxzZljej1mqAZqo4gkYRmOTcBm4IO+PqCqa1RVVHWmqs6yX6+papWqLlbVSap6icfYqMVdqjpBVWeo6kav73pMVSfar8eH+L/4xLJtZaQnRPEfl04mMjzMES6ixlY37+4u54oZo7ls2mhqmtrZciT00fYr9lTQ1NbB9bOzWTglneW7K+h0gOFcVlhKalwk37x0MjERLkcYTk+vbskZo7n8jNHUt7jZeCj053DV3uPUt7q5dlY2F01OZ+We445o/CwrLCMxJoJvXjqZ+KhwR9yHre4O3txxjMumjeaKGaNpautgfVHoG7Br91dS29zOJ84cw8VTMli5pwK3Axo/ywpLSYgK58LJp8VGdDEkA6WqX1PVGlV9CLgUuNV29X0saWh1s2JPBVfNyCI+KpzzJqQ64uH27u4KWto7uXrmGC6YnEZ4mDjihl1WWEpafBTz8lNZXJBBRX0rO0rrQqrJ46JdMn00cVHhnD8xjXd3VTCYfEB/snKP5aK9euYYFkxMI9IVxnIH9FaWFZaRHBvBeRNSWTQ1kxONbWw9WhNSTR5jfvkZmcRFhbNwchrLd5eH/Bx6XLRXn5nFeRPSiI4Ic8Tz4ZXCUhKiw7lgchqLp2ZQ1+Jm0+HQNn7a3JZ779JpmUQHcAwKEckWkfOAXCBJRBYO9Tudyjs7y2l1d3L1zCwAFhdkcLCykaLjDSHVtWxbKRkJUZw9PoVR0RGck5fC8hB34xtb3SzfXcGVM0bjChMumpKBOMAv73HRXj3TcissnppBSU0ze8tDew5fsV208/NTiIsKZ/6E1JA3Mjwu2iXTs4hwhXHhpHRcYRJyw+lx0XrO4aKCTMrrQt/48bhoF0xMIzrCxfkT0ng3xIbT46K9/IzRRIW7WDApnQiXhNxwrtlvuWivPjOrz+OGGsX3M2At8EPg2/brP4fynU5mWWEpWYnRnJWbDMDFBdbgXihPdn1LOyv3HufKGVm4wqxQ/UUFGewpr+foiaaQ6XpnV3lXrw4gJS6Ss3KTQ35jeFy05+SlAHDxFOschtJwNrW5Wb6rgitmjCbcZd2SiwsyKDreyMHKxpDp8rhor7EbZImxEcwdlxzyMYxlhaWkxEVy3oRUAC6ako6EODjI20UbYZ/DRVMzOHqimf0VoWv8eFy0nkZ1fFQ48/ND3/hZts1y0S6Y2Lt7D4beg7oOmKKqV6rqNfar3zDz4Uhtczvv7T3OVTOyCLMNwdjkWApGJ4T0hn17Zzlt7k6u8WqJLJ5q5Tiv2BM6XcsKyxg9Kpq545K7yhYVZFBYXEtFXUtINHm7aD3GfHRiNNOzR4W0x/nurlN7dWDVFYT2oevtovWweGoGu4/VU1LTHBJN3i5ajzFPi49iVk5SSB+63i5aD55zGEpdHhft+RPTusoWFWSwv6KBw1Whafy0tHfwlu2i7S9peKgGqghwRkZogHlrxzHaO5Sru0WcLCrI4MNDJ6htDk1+yLLCMsYkRjM756QhyEuLIz8tLmSGs66lnff2WL06jzEHusJJQ2U4u7toPSwqyGTzkWpONIYmP2RZ4UkXrYeclFgmZ8aHzJ3W3UXrYVGB1fgJleE86aI99RwuLshg29Eajte3hkSXt4vWQ1ZiDNOyQtf4OemiPdmrg9A3ft7be6qLti+GaqCagK0i8md7xvHficjvhvidjmRZYRk5KTGcOfbUNK/FUzOs/JB9wc8tqG1qZ/W+41w181RDANZFGKrk2Ld3lNPW0Xmaf3lKZgLZSTEhM5zdXbQeFhdk2PkhwddV39LOij2numg9LCrIZH3RCepDkBzb3UXrYUJ6HONSY0OWHOtx0c7LSz2l3GM4Q9H46clF62Hx1IyQJcd6XLTdz+G41DgmZsSHzEAtKyw7xUXbF0M1UC9j5SK9jxVm7nl9rDjR2Mba/ZVcNWMM0m3Sr1k5ySTHRoSklfSmp1fXQ0tk0dSMkCXHLissJTsphtk5SaeUiwiLCjJYsz/4ybG1Tae7aD3MyE4kLT4qJIbznV2nu2g9nGz8hOIcnu6ihZPnMBTJsR4X7ZXTR59mzKdmJZCVGB2S+7AnF62HRV2Nn+A3YC0XbSTz8lJO27e4IIN1RVU0BLkB29Tm5p2d5ae4aPtiqGHmT2LNHu4xTM/aZR8r3th+DHennuZWAHCFCRdPyQhJcuwrhaXkpsQyc+zpk3ecPT4lJMmx1Y1trN5XydUzs04z5mAZzqa2DtYfDG5+yJs7e3bRAoSFCYsK0kOSHPvKttNdtB5m5yRZybFBfujWNvfsovWwuCAzJMmxXS7aHs6hx3Cu3nc86Mmxr2w73UXr4cyxSaTGBT851uOivWJ6Vo+GYFFBBu0dypoge356c9H2xlCj+C4C9gF/BP4E7P04hpkvKywlPy2OM8aM6nH/oqkZVDe1s/Vo8HILqhpaef9AVa+GIMIVFpLk2Dd3WMa8t+zwc/NTreTYILuIenPRelhUkBn05FiPi/bqM8f0aAjCXWF2cmxwGz9v77RctD316gDOyUshLtIV9MF/j4t2Tu7pxhysHmdjWwcbgtj48UTRXjXzdBctWI2fiwuCnxzrcdH2dh/OGZfMqOjwoBvO3ly0vTFUF9+vgMtU9UJVXQhcDvx6iN/pKI7Xt7KuqHdDAHDBpHQrOTaIJ/v17dakon0NNIYiOXZZYRnjU2N7NebRES4rOXZ38JJjPS7aq2ee7qL1sGBS8JNjT7poe29NLpqaSVVjG9uKa4Kma1lhKWOTY5jVzUXrITI8jIWT04OaHNtTFG13PMmxwbwPPVG0/d2HwU6O7c1F6yHcFcZFtucnWA3Yvly0vTFUAxWhqns8b1R1Lx+zqL7Xt5fRqfToVvCQGBPB2eNTgupOW1ZYSn56HFOzEno9JtjJsZUNrbx/oG9DAFZLt7i6mX1Byg95o8uY924I4qPCmZefEtRegcdFOyO79/mVu5Jjg/TQrW5sY82+Sq7qo0EGlosomMmxvUXRehOK5NhlhWVkJ8VwVm5Sr8csmJQW1OTY3qJou7N4agaVDW0UltQGRVdfLtre8MdcfI+KyEX261GsZdg/NizbVsbkzHgmZ/ZuCOBkfkhxdeCTYyvqWlh/8ES/hiDYybGvbz9mG/O+/ctdybFBeuh6XLTTsnru1XkIZnJsfy5aD13JsUE6h10u2n5CgD2Nn2BdW/25aD14kmMPBGF2F+8o2r7OYUJ0BPPygpcc21sUbXcunJxurX4QJHd7fy7anhiqgfo3YCfw7/Zrh132seBYbQsfHj7hU7y+J7dgRRAuwtc+stabucaHgcZgJscu21bKxIx4pvRjzLuSY4PQs/PFReshmDk+nnWffLm2Fk/NYFdZHaVBSI7tz0XrIT0hijPHBic5trqPKNrudCXHBqHx44uL1kMwk2N7i6LtTlJsJHPHBcdr4IuLtieGGsXXqqoPqOonga8A76pqaDLlAsCrtiHw5QLMT48nLy0uKCd7WWEZUzITmNSPIYDgJceW17Ww4dAJnwwBWMZg0+FqqgOcHOuLi9ZDbmoskzKCkxy7bFtZvy5aD8EynL66aD0EKzn2jR29R9F2x5McG4z70BcXrQfPfRjoc1jT1HcUbXcWTc1gR2kdx2oD24D1xUXbE0ON4lspIqNEJAUrzPwREQlqkISILBGRPSKyX0S+58/vXlZYyrSsUeSnx/t0/KKCDN4PcH5IaU0zGw9X+xymGazk2Ne6jLlvF+DiIOWH+Oqi7dI1NfDJsRX1Law/WOWzIehKjg3ww81XF62HYE2ptaywlLw+omi7s3hqBpsOVwc0OdZXF62HYCXHvtllzH2/DyHwhtNXF213huriS1TVOuCTwFOqOg9rhd2gICIurBD3K4BpwM0iMs0f311c3cSWIzU+36xgnew2dydrA5gf8tpH1lLlvrZEgpUcu6ywjILRCUzM8M2YdyXHBvDGGIiL1kMwkmNf/8gyBL64aMErOXZ/Jc1tATyHPrpoPQQjOfZ4fSsfDMAQgNVQ7OjUgDZ+BuKi9RCM5NhlhWWMS41lerZvxnxiRjw5KTEB9RoMxEXbnaEaqHARyQJuBJYN8bsGwznAflUtUtU2YClwrT+++NVC2xDM8P0CnNuVHBu4k/1KYRlnjBlFXlqcz58JdHJsaU0zmw5X97kyZne6kmP3VAQsOXYgLloPwUiOXVZY6rOL1sPigkxa3Z28fyAwhnOgLloITnLsGx4X7QAMgSc5NpC9goG4aD0EOjl2oL06sM7h4oLMgDZgB+Ki7c5QDdRPgDexjMSHIpKPlbgbLLKBo17vi+2yUxCR20Vko4hsPH7ct4tjWWEZZ45NJDc11mcxnvyQd3cFJrfg6Ikmth2tGdDNCieTY98NULROlzEf4AW4qCCTugAmxw7URQsnk2MDNTNIWW0zHx7y3UXrwZMc+06ADOdAXbQeAp0c+0phGZMy4pky2ndDcDI59nhAkmMH6qL1EOjkWF9yI3tiUUEGLe2Ba/wM1EXrzVCDJP5uL93+Nft9kap+aijfGQhU9WFVnauqc9PT+15/BOBQZSMfldQO+ESDdbIDlRy7bJCGoCs5NkArxy4rLGVGdiLjUn3v1UFgk2MH46L1EMiVY7uM+QAHiwOdHDtQF62HQCbHHqtt4cNDA3PRelhckEFtc3tAkmMH6qL1EOjk2Fe2lTIhPY6CARhzgHn5KcRGugJyDgfjovVmqEES0SJyl4j8SUQe87yG8p0DpATI8Xo/1i4bEq/a4zxXDaJL6lk8LRDJscsKSzkzJ4mcFN97dR4CtXLskaomthXXDqr7Hsjk2MG4aD0EcuXYZYNw0XoIVHJsySBctB4CmRzb5aIdRCMjkMmxg3HReghUcuxJF+3Ax3miwl1cMCmN5QGY3WUwLlpvhuri+yswGmuKo/ewDET9EL9zIHwITBKRPBGJBG7CmmF9SLyyrZQ545IZkxQz4M+mxkcxOyfJ7zdG0fEGdpTWDbjV5iFQK8e+UlgKDM6YQ+CSY18pLB2wi9ZDoFaOPXqiia2DcNF6CFRy7Kv2ORxMIwMClxy7rLCUqVmjmDAAF62HQCXHltYMzkXrIVDJsV25kYMw5mCNcZbVtrCrzL+P71e2DdxF681QDdREVf0voNGexfwqYN4Qv9NnVNUN3I01DrYLeF5VdwzlO/dX1LP7WP2gL0Cwwm/9nRzrce9dOWNwugK1cuyywjJm5yYxNnnghgACk+NzqLKR7SV1gzYEEJiVYwfrovUQqOTYZYVlg3LReghEcmyXi3YI92EgkmMHGkXbnUAlx5500Q7OEFxUYA19+NNrMJgo2u6ED1GDJ1mkRkSmA8eAjCF+54BQ1deA13w9vrSmmXtf/IiOzk7cHYq7U+noVNo7OunoVEpqmhEZvCEA68b4xZt7WLGngs+cndvrcZ2dytoDlazYbUVBdXSersfzfuvRGuYOsld3Ulcmf1i+jxONbaTERfZ6XEOrm5e3lrL7WJ31+3Y9uTs7vd530tah7Cqr47+uHnxkv3dy7JcX5PV57OGqRl7aUkJVQ5ulp1sdeZ9DGHyvDqy6+t/XdrN8dwWfnz+u1+NUlfcPVLF8dwWt7o4erynP+8LimkG7aD0sLsjgV2/v5Xh9K+kJUb0e19RmncOdZX2dQ0tjYXEt915RMGhN3smxd1w4oc9jj55o4sXNJVQ2tNr10vN9WGYnjvY35VJfLJ6awU+W7WT57gpuO7/3a0tV+aCoind3nX4OPdfZyXNYO2gXrYdFUzO4//XdHKttYXRidK/HNbW5WbatjB2ltbT3cQ7dnZ1sOlzNf142edCaMhKiOXNsIu/uruDuRZP6PLa42jqHx+t7Podu+/2xupZBu2g9DNVAPSwiycB/YbnW4oH/N8TvDCg1ze28s6uc8DAh3CWEh4XhCpOu99ERLm5fmE/mqN4vnP4oGJ3AmMRo3t3Vs4Gqbmzj75uO8uz6IxyqaiI6Ioy4yHAvHWFdelxhYUS4hPGpsXzt4r5v/v5YXJDB797dx3t7K7h+9tjT9u8+VsfT6w7zzy2lNLS6SYgOJyrcUz9hdn2dun3BpDSumzX4hwhYN+xfVh+kvqWdhOhT5xp2d3SyfHcFT68/wqq9xwkTa3JeT724woQI16nnMCrCxZcX5A3JmHuvHNuTgappauMfm4p5dv0RiiobiQoPIz6q93MYHibkpsTybxdNHLQmsOrqV2/vZcWeCm6cm3Pa/r3l9Ty97jAvbS6hvp9zaNWdcP7EVK4/67Tg1wGxeGoGf1p5gJqmNpJiT238dHQqK3ZX8PT6w7y39zhC/+cwIjyML543flAuWg/jUuOYkB7Xq4GqbW7nhU3FPLP+MAeOW+cwLircrp+T59DltZ2TEsMdC/MHrQms+/D+163Gz2fnnf582F9Rz9PrjvDC5mLqW9wkRIUTFdH3OTxvQio3zDn9ehgIiwoy+c27e6lsaCUt/tTGj5VXVsHT6450JWYn9XMOw11h3DI/d1AuWg9DMlCq+qi9+R4wtLMWJKZljeLDH1wS0N8QERZNzeDFzSW0tHcQHeFCVdl8pIZn1h1m2UdltLk7OXt8Mv9x6WSWTB9NVLgroJrg1JVjPQaqpb2DN7Yf4+l1h9l4uJrI8DCunpnFLfPHMTsnaVCRNwNlcUEmf36viNX7Krt6ruV1Lfztw6M8t+EIZbUtjB4VzTcumcRNZ+f22er0F54cn2fWH6GpzU1sZDiqVk/26XVHWFZYSqu7kznjkvn14olcMT2L6IjAn8NpWaMYPcpKjvUYqFa3dQ6fWXeEDYdOEOkK46qZWdwyP5ezcpODcg4XFWTw++X7eW/vca6dZRm7ivoWnv/wKM9tOEpJTTMZCVF8fdEkbj4nh6zEwTceBsLiqZk8vvYgDa1u4qOsx922ozU8s/4wL28rpaW9k9m5Sfzy02dy9czgnEPv5FiPgWpzd/LmDus+XH/QOodXzBjN5+aN4+zxwTmHi6dm8Ot39rJyz3FumGM9HyobWrvuw+LqZtITorj74oncdE4u2UNoAPrKkAyUiGQC/wuMUdUr7FkczlXVv/hF3TBmcUEmT687wvLdFVQ3tfH0uiPsKqsjPiqcz8zN4XPzcykYPfC8gKHgSY59ffsxDhxv4PkPj/L3TcWcaGwjLy2OH141lU+dNZbkPtx/geCs3CQSYyJ4Z1c5iTERPL3uMG/vLMfdqVwwKY0ff+IMFhdk+LREtD9ZXJDJ42sP8c6uChpb3Ty97jA7SuuIi3Rxw5yxfG7eOKYNIrdjKHgaP//aUsKB4w38Y1Mxz394lKrGNsalxnLvFQV8em5Ony7cQOC9cmx6QhTPrDvSNe3Ogolp/NfVU1k8NZOIIJ/DRQUZPLyqyJ4LrpOn1x3ho5JaYiNdXD97LJ+bl8t0H+bS8yee5NilHx5hf0UDL20p5m8fFlPZ0EpOSgzfXVLAp+eOPa0XE2jOGDOKzFFRvLurnLHJMTyz/ghvbC+jvUM5Nz+Ve6+YymVnBPccylDCCkXkdeBx4AeqeqaIhANbVHWGvwT6m7lz5+rGjYFfEaSlvYNZP3mLlnYrUXBa1ihumT+Oa2eNIS5qqJ7VwfPG9mPc+fQmwFqu/tKpmdwyfxznTUgd0CzD/uaepVv411Yrmiw5NoIb5+Zw8zm5jB+Cr3+otLk7mf2Tt2i0pxcqGJ3ALfPHcd3s7K7WeCh4d1c5X37SuobDBC6xz+GCiWkhPYf/+fdt/GNTMWC58D49ZyyfnZc7oERpf9Pe0cmcn75NXYs1vdDkzPiuczgqOnRL163ae5wvPLYBsM7hooJMbpmfy8JJ6SE9h/e+WMhzG6y5D0ZFh3PDnBw+Oy93wPlxA0VENqnq3O7lQ73L0lT1eRG5F6yoOhEJ3GRhw4joCBdfXzSJQ5WN3DwvN2jusv64cHI6V0wfTcHoUXzm7JyguMt84dbzxtPY6uaqmVlBc5f1R2R4GPdcMom95Q3cfE5O0Nxl/XH+xDSumpHFhIz4oLrL+uML546jurGNK2ZkBc1d1h8RrjD+ffEkdpbVcfM5ucwd54xzOD8/latnZpGXFhc0d5kvfG7eOMrrWlkyfTTXzBxDTGRoz+FQe1ArgU8Bb6vqWSIyH/iZql7oJ31+J1g9KIPBYDD4Rm89qKEaqLOA3wPTge1AOnCDqhYO+ksDjIjUA3v6PdCZpAGBm2Y7sBjtocFoDw1G+8AYp6qnzUM3KBefiJwNHFXVzSJyIXAHVk/qLawJW53Mnp4s9XBARDYa7cHHaA8NRntocJL2wYZj/BnwrAZ2HvADrHWZqoGH/aDLYDAYDCOcwQZJuFTVM7/+Z4CHVfUF4AUR2eoXZQaDwWAY0Qy2B+WyQ8rBWkF3ude+0MXf+sZw7uEZ7aHBaA8NRntocIz2QQVJiMgPgCuxBtJygbNUVUVkIvCkqp7vX5kGg8FgGGkMOorPDinPAt5S1Ua7bDIQr6qb/SfRYDAYDCORQc9ZoarrVPUlj3Gyy/Y61TiJyBIR2SMi+0Xke6HWMxBE5JCIfCQiW0XE8Ulc9sKVFSKy3assRUTeFpF99t/kUGrsjV60/1hESuz63yoiV4ZSY2+ISI6IrBCRnSKyQ0TuscsdX/d9aHd83dsLt24QkW229v+2y/NEZL39zPmbvWado+hD+xMictCr3meFRF8glo92GiLiAvYCl2KFwX8I3KyqO0MqzEdE5BAwV1WHRV6FiCwEGoCnVHW6XfZz4ISq3m83EJJV9buh1NkTvWj/MdCgqr8Mpbb+EJEsIMtO/0gANgHXAV/E4XXfh/YbcXjdizU1RZyqNohIBLAGuAf4JvCiqi4VkYeAbar6YCi1dqcP7XcCy1T1H6HUF9yZG0PHOcB+VS1S1TZgKXBtiDV9bFHVVcCJbsXXAk/a209iPXwcRy/ahwWqWubxYKhqPdYintkMg7rvQ7vjUQvPcsIR9kuBRYDnAe/Ueu9NuyMYKQYqGzjq9b6YYXLx2yjwlohsEpHbQy1mkGSqapm9fQzIDKWYQXC3iBTaLkDHuci6IyLjgdnAeoZZ3XfTDsOg7kXEZafYVABvAweAGnvVb3DwM6e7dlX11Pt9dr3/WkSCO7W6zUgxUMOdBap6FnAFcJfthhq2qOVXdkwrzQceBCYAs4Ay4FchVdMPIhIPvAB8Q1XrvPc5ve570D4s6l5VO1R1FjAWy2Mz+CWKg0x37WKtjn4v1v9wNpAChMQlPFIMVAngvdzkWLtsWKCqJfbfCuAlrBtguFFujzN4xhsqQqzHZ1S13L6JO4FHcHD92+MILwDPqOqLdvGwqPuetA+nugdQ1RpgBXAukOSVL+r4Z46X9iW2y1VVtRVrSaWQ1PtIMVAfApPsqJpI4CasJeodj4jE2YPGiEgccBnWxLzDjZeBW+3tW4F/hVDLgPA83G2ux6H1bw94/wXYpaoPeO1yfN33pn041L2IpItIkr0dgxWMtQvrYX+DfZhT670n7bu9GjSCNXYWknofEVF8AHZ46m8AF/CYqt4XWkW+ISL5WL0msGbpeNbp2kXkOeAirFmRy4EfAf8EnsdK7D4M3Og1XZZj6EX7RVguJgUOAXd4jek4BhFZAKwGPgI67eLvY43lOLru+9B+Mw6vexGZiRUE4cJq9D+vqj+x792lWC6yLcAtdo/EMfShfTnW6hQCbAXu9AqmCJ6+kWKgDAaDwTC8GCkuPoPBYDAMM4yBMhgMBoMjMQbKYDAYDI7EGCiDwWAwOBJjoAwGg8HgSIyBMhgMBoMjMQbKYDAYDI7EGCiDwWAwOBJjoAwGg8HgSIyBMhgMBoMjMQbKYDAYDI7EGCiDwWAwOBJjoAwGg8HgSIyBMhgMBoMjMQbKYDAYDI4kvP9DPl6kpaXp+PHjA/obNU3tlNQ00+m11laYCNlJMSTFRgT0tw39Y86PweAsNm3aVKmq6d3LR5yBGj9+PBs3bgzob5x//3LcNc2nlWcmxbD2e4sC+tuG/jHnx2BwFiJyuKdy4+ILAKU9PPz6KjcEF3N+DIbhwYjrQQWDMUkxlPTwsBuTFBMCNR8f/rmlhF+8uYfSmmbGJMXw7cuncN3s7AF/jzk/BsPwwPSgAsC3L59CTITrlLKYCBffvnxKiBQNf/65pYR7X/yIkppmFCipaebeFz/in1tKBvxd/jw//9xSwvn3Lyfve69y/v3LB6XHYDD0jOlBBQBPq94frX2DxS/e3ENze8cpZc3tHfzizT0Drld/nR+P0fTo8hhN798YKfird2sweGMMVIC4bna2uUH9iL/HjfxxfgZiNIfzA7w/7cZQGwLFgAyUiKT0tV9VTwxNjsEJOPFh6sRxI1+N5nB+gPui3Z+92+GOE++d4cxAe1CbAAUEyAWq7e0k4AiQ509xBv8zXFvD3758yim6IPTjer4aTac+wH15mPqiPVRRkU4zBk69d4YzAwqSUNU8Vc0H3gGuUdU0VU0FrgbeCoRAg//wJdCgrwdSKLludjb/98kZZCfFIEB2Ugz/98kZITeavgRbODGs3degE1+099aLDWTv1p9BM/7CqffOcGawY1DzVfWrnjeq+rqI/NxPmgzd8FdL0cmtYV9w2rier8EWTnRP+tqr80V7KHq3oeiV9ncfDuTecVrvz6kM1kCVisgPgaft958DSv0jyeCNP90GvraGnfYwdTK+GE0nuid9fZj6oj0UUavBbkj5ch/6eu/4ek8bIzZ4A3Uz8CPgJfv9KrvM4Gf82VJ0amvYnzjxpnZi2oGvD1NftQe7dzsQY9Cfdn+Nxfl67/jyXWY8y2JQBsqO1rvHz1oGhYgsAX4LuIBHVfX+EEvyK/5sKTq1Newvo+Lkm9pp7smBNEScph180+/L9eDrNePLfejrvePLd42UFIb+GGiY+W9U9Rsi8gpWNN8pqOon/KbMNz0u4I/ApUAx8KGIvKyqO4OpI5D40+XmxNawP42KU6PlnIgTe3UDwRf9vlwP/hyL8+jqrw59+S5/pzAMVyMmqqfZmd4PFpmjqptE5MKe9qvqe35T5puec4Efq+rl9vt7bR3/19tnEhISdM6cOUFSOHQaUguoyl+Cuk4uAyEd7aQWvUF81e4QKvMPR2ffTkdU4mnlrtZacrY8PKDvOjTvP0Hk9B2qjF//y8FKNAxTfLkefL1m/Hkf+vJdvt4Xvhw3HJ4h77333iZVndu9fEA9KFXdZP/tMkQikgzkqGrhkFUOnGzgqNf7YmBe94NE5HbgdoCoqKjgKPMTnguoOnchHZGjcLXVkXxklWMurKHSETlqQOV94Wqr6/lmbasb8HcNdxpSCz6214yv+HI9+HrN+PM+9OW7ko+s6tGoJB9Zdcp3+XL/VOcuPOV7ANQVQXXuQsdfEwPqQXV9SGQl8AksA7cJqADWquo3/aqufx03AEtU9Sv2+88D81T17t4+M3fuXA30elAG3zn//uU9ujuyB7E2U3d3B1jjEqHOl/KVQI3FwfCqB3/hSz04ua58uR58uX/yvvfq6eMxWDMsHLz/qgAoHzgiMvQelBeJqlonIl8BnlLVH4lIKHpQJUCO1/uxdtmwYLj6hf2JP6MGh/O4ihmL8z++XA9Ovmb8lcLgz4jHYDNYAxUuIlnAjcAP/KhnoHwITBKRPCzDdBPw2RDq8RknR5wFE38/IJwYceYL/jQqTk62Dja+XA/D9ZoB3+4ff0U8hoLBGqifAG9iufU+FJF8YJ//ZPmGqrpF5G5biwt4TFV3BFvHYDCt3JMM5weEv/CnUTHJ1iOL/u4ff0U8hoLB5kH9Hfi71/si4FP+EjVALa8Br4Xit4eCv1u5TuyeO1mX0/CnURnuydYG/9OfEXNqr3tQK+qKyGQReVdEttvvZ9pTHxl8xJ8TbDpx4kwn63Ii/lzl14kT6xqcTSgm/PWFwS75/ghwL9AOYIeY3+QvUSMBfz6QnDqLslN1ORF/G5XrZmez9nuLOHj/Vaz93iLHGKd/binh/PuXk/e9Vzn//uWmseIQ/Pk88ieDHYOKVdUNcmqCm9sPekYM/gwOcGr33Km6nMrHfSzOqQPxBudGMw7WQFWKyATs6Y7sfKQyv6kaIfjrgRSKQXFfxpbMYL3BG18H4s24ZWhwYgNpsC6+u4A/AwUiUgJ8A7jTX6IMAyPY3XNfx5ac6jYwhAZfetRm3NLgzaAMlKoWqeolQDpQAFwILPCnMIPvBHtQ3NexJTNYHxiG6ziOLwPxZtzS4M1AZzMfhdV7ygb+hbX0+13At4BC4Bl/CzT4RjC75wMZW3Ki22A4M5zHcXwJfzfjls4nmC7YgY5B/RWoBj4Avoo1i4QA16vqVv9KMziVkTK25MSxEKcmVPqCLwPxI+XaGq4Eu4E0UAOVr6ozAETkUazAiFxVbfG7MgfjxAdXMBkJiaBO7akM9x5Gfz3qkXBtDWeC3UAa6BhUu2dDVTuAYn8ZJxH5hYjsFpFCEXlJRJK89t0rIvtFZI+IXO5VvsQu2y8i3/OHjv4wg7gjY2zJqWMhTk2o9Bcj4doazgS7gTTQHtSZIuJZKEWAGPu9AKqqA1/E5yRvA/fa8+v9DCsR+LsiMg0rCfgMYAzwjohMtj8T9NV0h7OLxZ983MeWnNpTGQk9jI/7tTWcCbYLdkA9KFV1qeoo+5WgquFe20MxTqjqW6rqSfZdh7V0BsC1wFJVbVXVg8B+4Bz7td+OKGwDltrHBhSnPrgM/sWpPRXTwzCEkmCnjgw2UTfQfAn4m72djWWwPBTbZeDDarpw6oq6ubm5QxJmBnFHBk7uqZgehiFUBHvGiaAaKBF5Bxjdw64fqOq/7GN+gDVtkt9C1lX1YeBh+/vrRWTQAwlhMaNSwkelj0PkZO9TtfNo3fHDcm/diaGr7ZM0oDLAvxEohp32sJhRKa74lGwJC4/UTndbR8OJkuv/J+Dn2N8Mu3r3wmgPDT5rPwRcf69ffnNcT4VBNVB2cm+viMgXgauBxXpyLfq+Vs0dzGq6e3paWng4ICIbjfbgY7SHBqM9NDhJ+2CnOvI7IrIE+A7wCVVt8tr1MnCTiETZK+dOAjbgtZquiERiBVK8HGzdBoPBYAgMThqD+gMQBbxtz5K+TlXvVNUdIvI8sBPL9XeXHeLOcF1N12AwGAz94xgDpaoT+9h3H3BfD+WDWU334QEe7ySM9tBgtIcGoz00OEa7nBzqMRgMBoPBOThmDMpgMBgMBm+MgTIYDAaDIxkxBioU8/b5CxE5JCIfichWEdkYaj39ISKPiUiFiGz3KksRkbdFZJ/9NzmUGnujF+0/FpESu/63isiVodTYGyKSIyIrRGSniOwQkXvscsfXfR/aHV/3IhItIhtEZJut/b/t8jwRWW8/c/5mRxs7ij60PyEiB73qfVZI9I2EMSgRcQF78Zq3D7g50PP2+QsROQTMVdVhkfgnIguBBuApVZ1ul/0cOKGq99sNhGRV/W4odfZEL9p/DDSo6i9Dqa0/RCQLyFLVzSKSAGwCrgO+iMPrvg/tN+Lwuhcr7DhOVRtEJAJYA9wDfBN4UVWXishDwDZVfTCUWrvTh/Y7gWWq+o9Q6hspPaiQzNs3UlHVVUD3GReuBZ60t5/Eevg4jl60DwtUtUxVN9vb9cAurGnBHF/3fWh3PGrRYL+NsF8KLAI8D3in1ntv2h3BSDFQ2Zw+b9+wuPhtFHhLRDbZ8woORzJVtczePgZkhlLMILjbXgrmMSe6yLojIuOB2cB6hlndd9MOw6DuRcQlIluBCqyVGQ4ANV4TYDv2mdNdu6p66v0+u95/LSJRodA2UgzUcGeBqp4FXAHcZbuhhi32NFaOaaX5wIPABGAW1iKdvwqpmn4QkXjgBeAbqlrnvc/pdd+D9mFR96raoaqzsKZcOwcoCK0i3+muXUSmYy13VACcDaQAIXEJjxQD1dd8fo5HVUvsvxXAS1g3wHCj3B5n8Iw3VIRYj8+oarl9E3cCj+Dg+rfHEV4AnlHVF+3iYVH3PWkfTnUPoKo1wArgXCBJRDyTITj+meOlfYntclVVbQUeJ0T1PlIM1LCdt09E4uxBY0QkDrgM2N73pxzJy8Ct9vatwL9CqGVAeB7uNtfj0Pq3B7z/AuxS1Qe8djm+7nvTPhzqXkTSxV4BXERisIKxdmE97G+wD3NqvfekfbdXg0awxs5CUu8jIooPwA5P/Q0n5+07beokJyIi+Vi9JrCmpnrW6dpF5DngIqxp+8uBHwH/BJ4HcoHDwI2q6rhghF60X4TlYlKsFQbu8BrTcQwisgBYDXwEdNrF38cay3F03feh/WYcXvciMhMrCMKF1eh/XlV/Yt+7S7FcZFuAW+weiWPoQ/tyIB1rtfStwJ1ewRTB0zdSDJTBYDAYhhcjxcVnMBgMhmGGMVAGg8FgcCTGQBkMBoPBkRgDZTAYDAZHYgyUwWAwGByJMVAGg8FgcCTGQBkMBoPBkfx/XqEqzYezbRIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "decomp_turn_over = sm.tsa.seasonal_decompose(turn_over_data.Turnover, model=\"additive\", freq=4)\n",
    "decomp_turn_over.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "d4fc664a",
   "metadata": {},
   "outputs": [],
   "source": [
    "trend = decomp_turn_over.trend\n",
    "seasonal = decomp_turn_over.seasonal\n",
    "residual = decomp_turn_over.resid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "2b6cef19",
   "metadata": {},
   "outputs": [],
   "source": [
    "air_passengers_data = pd.read_csv('./data/AirPax.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "598b7568",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Year Month  Passenger  TimeIndex\n",
      "0  1949   Jan        112 1949-01-31\n",
      "1  1949   Feb        118 1949-02-28\n",
      "2  1949   Mar        132 1949-03-31\n",
      "3  1949   Apr        129 1949-04-30\n",
      "4  1949   May        121 1949-05-31\n"
     ]
    }
   ],
   "source": [
    "date_range = pd.date_range(start='1/1/1949', end='31/12/1960',freq='M')\n",
    "air_passengers_data ['TimeIndex'] = pd.DataFrame(date_range,columns=['Month'])\n",
    "print(air_passengers_data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "ef7b7689",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vadi_\\AppData\\Local\\Temp/ipykernel_13044/1610360481.py:1: FutureWarning: the 'freq'' keyword is deprecated, use 'period' instead\n",
      "  decomp_air_passengers_data = sm.tsa.seasonal_decompose(air_passengers_data.Passenger, model=\"multiplicative\", freq=12)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "decomp_air_passengers_data = sm.tsa.seasonal_decompose(air_passengers_data.Passenger, model=\"multiplicative\", freq=12)\n",
    "decomp_air_passengers_data.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "0d9bd88e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.910230\n",
       "1    0.883625\n",
       "2    1.007366\n",
       "3    0.975906\n",
       "Name: seasonal, dtype: float64"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Seasonal_comp = decomp_air_passengers_data.seasonal\n",
    "Seasonal_comp.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d032717",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "52a07c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "turn_over_data = pd.read_csv('./data/RetailTurnover.csv')\n",
    "date_range = pd.date_range(start='1/7/1982', end='31/3/1992',freq='Q')\n",
    "turn_over_data['TimeIndex'] = pd.DataFrame(date_range,columns=['Quarter'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "dc794da3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Quarter</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1982</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13423.2</td>\n",
       "      <td>13128.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983</th>\n",
       "      <td>15398.8</td>\n",
       "      <td>12964.2</td>\n",
       "      <td>13133.5</td>\n",
       "      <td>13271.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1984</th>\n",
       "      <td>15596.3</td>\n",
       "      <td>13018.0</td>\n",
       "      <td>13409.3</td>\n",
       "      <td>13304.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1985</th>\n",
       "      <td>15873.9</td>\n",
       "      <td>13366.5</td>\n",
       "      <td>13998.6</td>\n",
       "      <td>14045.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>16650.3</td>\n",
       "      <td>13598.4</td>\n",
       "      <td>14183.2</td>\n",
       "      <td>14128.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>16380.7</td>\n",
       "      <td>13512.8</td>\n",
       "      <td>14022.1</td>\n",
       "      <td>14231.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>16737.0</td>\n",
       "      <td>14004.5</td>\n",
       "      <td>14165.5</td>\n",
       "      <td>14203.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>16895.1</td>\n",
       "      <td>14248.2</td>\n",
       "      <td>14719.5</td>\n",
       "      <td>14855.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>17361.6</td>\n",
       "      <td>14585.2</td>\n",
       "      <td>14873.5</td>\n",
       "      <td>14798.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>17115.2</td>\n",
       "      <td>14284.9</td>\n",
       "      <td>14558.8</td>\n",
       "      <td>14914.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>17342.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Quarter       Q1       Q2       Q3       Q4\n",
       "Year                                       \n",
       "1982         NaN      NaN  13423.2  13128.8\n",
       "1983     15398.8  12964.2  13133.5  13271.7\n",
       "1984     15596.3  13018.0  13409.3  13304.2\n",
       "1985     15873.9  13366.5  13998.6  14045.1\n",
       "1986     16650.3  13598.4  14183.2  14128.5\n",
       "1987     16380.7  13512.8  14022.1  14231.8\n",
       "1988     16737.0  14004.5  14165.5  14203.9\n",
       "1989     16895.1  14248.2  14719.5  14855.8\n",
       "1990     17361.6  14585.2  14873.5  14798.4\n",
       "1991     17115.2  14284.9  14558.8  14914.3\n",
       "1992     17342.3      NaN      NaN      NaN"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quarterly_turn_over_data = pd.pivot_table(turn_over_data,values = \"Turnover\", columns = \"Quarter\", index = \"Year\")\n",
    "quarterly_turn_over_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "a69c8083",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quarterly_turn_over_data.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "84514d84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quarterly_turn_over_data.boxplot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e055b069",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
